Meta introduces the 'Index as Model' paradigm, unifying all retrieval microservices into a single neural network, achieving 23.7x higher throughput and 20.9x better cost efficiency within strict latency budgets.
Meta is strengthening end-to-end encrypted backups for WhatsApp and Messenger through an HSM-based key vault, over-the-air key distribution, and publishing deployment evidence, aiming to let users verify that even Meta cannot access their backups.
The culprit behind Claude Code's quality decline over the past two months wasn't model degradation, but three harness-level bugs, with a 'session state cleanup' glitch exposing hidden complexities in AI Agent engineering.
Through Lalit Maganti's experience, it reveals the potential and limitations of AI in software development, particularly the challenges in architectural design.
Continual learning for AI agents occurs at three layers: model, harness, and context, with context-layer evolution being the most practical and actionable.